CN116468518B - Cloud bin order processing system and management method for full-channel retail - Google Patents
Cloud bin order processing system and management method for full-channel retail Download PDFInfo
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Abstract
The invention discloses a cloud bin order processing system and a management method for full-channel retail, comprising the following steps: creating order information based on a client, and performing intelligent analysis and control processing on the order information through a cloud bin order management end to acquire an intelligent analysis report, wherein the intelligent analysis report comprises a bin node corresponding to an order; the order generates an exclusive identification code according to the intelligent analysis report, a corresponding sub-bin node acquires the order information according to the exclusive identification code, and the corresponding sub-bin node keeps the continuous supply of warehouse commodities according to the intelligent analysis report of the order commodities; the corresponding sub-bin nodes intelligently plan a delivery scheme according to order information, delivery vehicles are arranged according to the delivery scheme, and clients query the order information in real time through clients. The cloud bin order management end ensures the implementation of orders and enhances the flexibility of order flow, and the order processing is combined with the bin division nodes and the logistics transportation, so that nearby warehouse cargo allocation and information sharing are realized, and the logistics efficiency is improved.
Description
Technical Field
The invention relates to the technical field of retail management, in particular to a cloud bin order processing system and a management method for full-channel retail.
Background
The concept of Yun Cang based on information technologies such as big data, cloud computing and modern management technology is generated, the cloud concept refers to a network platform, the big data end is cloud, and a cloud warehouse refers to a warehouse platform. The cloud deck platform for full-channel retail is a sales mode combining online, offline and logistics, the cloud deck platform comprises order management, "Yun Cang" warehouse, suppliers, clients and logistics distribution, the order management is Yun Cangping sets of the starting points of warehouse distribution, analysis of task conditions, analysis of data conditions, overall resource conditions and the like needs to be based on order data, and distribution behaviors implemented by the cloud deck platform also need to be carried out with the order as a core for coordination configuration work.
The invention patent document with the application number of 201711119814.7 provides a cloud bin order processing system for full-channel retail, and the cloud bin order processing system disclosed by the invention comprises: the online and offline orders are summarized and then processed uniformly, business order data of all online and offline cloud bin orders are processed in a gathering mode, and essential basic information of the orders is recorded in the cloud bin orders, wherein the information comprises: interface order type, on-line/off-line, on-line refers to an order entered through a database interface, off-line refers to a cloud deck order uploaded from a physical store; order sources including manual, official, e-commerce; the ordering store is used for recording the store in which the end user places an order; a shipping store for recording store information specific to delivery of the goods to the customer; document date, date of order; a shipping date, a date on which the particular shipment was sent; membership card number, membership card number of the ordering customer; remarks of orders, remark information filled in by clients of original orders.
However, the above-mentioned technical solution only considers the basic information related to the order and the order processing problem, and the consideration of the problem to be solved by the cloud deck system for the whole channel is not comprehensive enough, for example, the implementation of the order is not ensured in order information management, the flexibility of the order flow is not enhanced in demand management, the optimal stock configuration of the warehouse goods and the continuous replenishment of suppliers are not maintained through order management in supply management, the intelligent planning and distribution scheme through order management in logistics transportation is not realized, and the distribution cost is not reduced on the basis of delivery time.
Disclosure of Invention
The invention provides a cloud bin order processing system and a management method for full-channel retail, which are used for solving the problems that the cloud bin system for full-channel retail needs to solve in the prior art are not fully considered, for example, the implementation of orders is not ensured in the aspect of order information management, the flexibility of order flow is not enhanced in the aspect of demand management, the optimal stock configuration of stored goods and the continuous replenishment of suppliers are not maintained through order management in the aspect of supply management, the intelligent planning and distribution scheme through order management is not realized in the aspect of logistics transportation, and the problem of reducing the distribution cost on the basis of delivery time is not realized.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a cloud deck order management method for full channel retail comprises the following steps:
s101: creating order information based on a client, and performing intelligent analysis and control processing on the order information through a cloud bin order management end to acquire an intelligent analysis report, wherein the intelligent analysis report comprises a bin node corresponding to an order;
s102: the order generates an exclusive identification code according to the intelligent analysis report, a corresponding sub-bin node acquires the order information according to the exclusive identification code, and the corresponding sub-bin node keeps the continuous supply of warehouse commodities according to the intelligent analysis report of the order commodities;
s103: the corresponding sub-bin nodes intelligently plan a delivery scheme according to order information, delivery vehicles are arranged according to the delivery scheme, and clients query the order information in real time through clients.
Wherein, the step S101 includes:
s1011: creating order information at a client after a customer selects a required commodity, automatically importing the order information into an order database, preprocessing the current order information by the order database, wherein the preprocessing comprises mapping rules and format checking;
s1012: processing order information through a cloud bin order management end, establishing a connection relationship with nationwide bin division nodes based on customer receiving position information in the order information, and establishing a connection relationship between commodities in the order information and commodities corresponding to the bin division nodes;
S1013: and monitoring and binding current order information, and checking the order information through monitoring in the process from order generation to order end, wherein the checking comprises intelligent checking and manual checking of a cloud bin order management end.
Wherein, the step S102 includes:
s1021: the order produces an exclusive identification code according to the intelligent analysis report, wherein the exclusive identification code comprises commodity parameters, commodity states and the current commodity position;
s1022: constructing an inventory optimization model based on the current corresponding bin node and the historical sales volume of corresponding commodities in the order, and determining inventory control parameters of all levels of bin nodes in the country, wherein the inventory control parameters belong to supply chain sharing information;
s1023: and coordinating the inventory quantity of each level of the sub-warehouse nodes based on the inventory control parameters, and keeping the continuous supply of warehouse commodities.
Wherein, the step S103 includes:
s1031: constructing an order distribution optimizing model based on the corresponding bin node order distribution and logistics distribution, wherein order distribution optimizing model parameters comprise order response, vehicle distribution, path planning and order delivery;
s1032: and matching the commodity with the corresponding delivery service vehicle type based on the order allocation optimization model, selecting a delivery path by the delivery service vehicle type according to the position of the client, and finally completing delivery and order delivery.
Wherein, the step S1012 includes: after the connection relation between the commodity in the order information and the commodity corresponding to the corresponding bin node is established, the current order is initially allocated;
the initial allocation divides the clients into two clusters, wherein the clusters comprise a node set close to the warehouse and a node set far away from the warehouse, if the order is allocated to the node from the client to the warehouse, the node set is smaller than a set distance value, the allocation scheme is kept unchanged, if the order is allocated to the node from the client to the warehouse, the node set far away from the warehouse, and the allocation scheme of the order is required to be updated and then the allocation scheme is redistributed;
the order allocation scheme comprises an exchange operator and a mobile operator, wherein the exchange operator refers to exchanging customer orders far away from a warehouse set among allocation different sub-warehouse nodes; the move operator refers to moving the customer orders far from the warehouse to a position outside the sequence of the binning nodes, and moving the customer orders near to the warehouse in the sequence of the binning nodes.
A cloud deck order processing system for full channel retail, comprising:
the order information creation unit is used for creating order information based on the client, and performing intelligent analysis, management and control processing on the order information through the cloud bin order management end to obtain an intelligent analysis report, wherein the intelligent analysis report comprises bin nodes corresponding to orders;
The special identification code unit of the order is used for generating a special identification code according to the intelligent analysis report of the order, the corresponding bin node acquires the order information according to the special identification code, and the corresponding bin node keeps the continuous supply of the warehouse commodity according to the intelligent analysis report of the order commodity;
the order distribution unit is used for intelligently planning a distribution scheme according to the order information by the corresponding bin nodes, distributing vehicles according to the distribution scheme, and inquiring the order information in real time by a client.
Wherein the order information creation unit includes:
the order information creation first subunit is used for creating order information at the client after the client selects the required commodity, the order information is automatically imported into an order database, the order database pre-processes the current order information, and the pre-processing comprises mapping rules and format checking;
the order information creation second subunit is used for processing the order information through the cloud bin order management end, establishing a connection relation with the nationwide bin division nodes based on the customer receiving position information in the order information, and establishing a connection relation with the commodities corresponding to the corresponding bin division nodes through the commodities in the order information;
the third sub-unit for creating the order information is used for monitoring and binding the current order information, and auditing the order information through monitoring is carried out in the process from the generation of the order to the end of the order, wherein the auditing comprises intelligent auditing and manual auditing of the cloud deck order management end.
Wherein, the order exclusive identification code unit includes:
the first subunit of the special identification code of the order is used for producing the special identification code of the order according to the intelligent analysis report, and the special identification code comprises commodity parameters, commodity states and the position of the current commodity;
the second subunit of the special identification code of the order is used for constructing an inventory optimization model based on the current corresponding bin node and the historical sales volume of the corresponding commodity in the order, and determining inventory control parameters of all levels of bin nodes in the whole country, wherein the inventory control parameters belong to supply chain sharing information;
the third subunit of the order exclusive identification code is used for coordinating the inventory quantity of each level of the sub-bin nodes based on inventory control parameters and keeping the continuous supply of warehouse commodities.
Wherein the order delivery unit includes:
the order distribution first subunit is used for constructing an order distribution optimizing model based on the order distribution of the corresponding sub-bin nodes and the logistics distribution, and the order distribution optimizing model parameters comprise order response, vehicle distribution, path planning and order delivery;
the order distribution second sub-unit is used for matching the commodities with corresponding distribution service vehicle types based on the order distribution optimization model, the distribution service vehicle types select distribution paths according to the positions of clients, and distribution and order delivery are finally completed.
Wherein the order information creating second subunit includes: after the connection relation between the commodity in the order information and the commodity corresponding to the corresponding bin node is established, the current order is initially allocated;
the initial allocation divides the clients into two clusters, wherein the clusters comprise a node set close to the warehouse and a node set far away from the warehouse, if the order is allocated to the node from the client to the warehouse, the node set is smaller than a set distance value, the allocation scheme is kept unchanged, if the order is allocated to the node from the client to the warehouse, the node set far away from the warehouse, and the allocation scheme of the order is required to be updated and then the allocation scheme is redistributed;
the order allocation scheme comprises an exchange operator and a mobile operator, wherein the exchange operator refers to exchanging customer orders far away from a warehouse set among allocation different sub-warehouse nodes; the move operator refers to moving the customer orders far from the warehouse to a position outside the sequence of the binning nodes, and moving the customer orders near to the warehouse in the sequence of the binning nodes.
Compared with the prior art, the invention has the following advantages:
a cloud deck order management method for full channel retail comprises the following steps: creating order information based on a client, and performing intelligent analysis and control processing on the order information through a cloud bin order management end to acquire an intelligent analysis report, wherein the intelligent analysis report comprises a bin node corresponding to an order; the order generates an exclusive identification code according to the intelligent analysis report, a corresponding sub-bin node acquires the order information according to the exclusive identification code, and the corresponding sub-bin node keeps the continuous supply of warehouse commodities according to the intelligent analysis report of the order commodities; the corresponding sub-bin nodes intelligently plan a delivery scheme according to order information, delivery vehicles are arranged according to the delivery scheme, and clients query the order information in real time through clients. The cloud bin order management end ensures implementation of orders and enhances flexibility of order flow, optimal stock configuration of warehouse commodities and continuous replenishment of suppliers and bin nodes are maintained in the aspect of supply management through order management, and nearby warehouse allocation, information sharing and logistics efficiency are realized by combining order processing with the bin nodes and logistics transportation.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a flowchart of a cloud deck order management method for full channel retail in an embodiment of the invention;
FIG. 2 is a flow chart of intelligent analysis and control processing for order information in an embodiment of the invention;
FIG. 3 is a flow chart of proprietary identification code generation in an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The embodiment of the invention provides a cloud deck order management method for full-channel retail, which comprises the following steps:
s101: creating order information based on a client, and performing intelligent analysis and control processing on the order information through a cloud bin order management end to acquire an intelligent analysis report, wherein the intelligent analysis report comprises a bin node corresponding to an order;
s102: the order generates an exclusive identification code according to the intelligent analysis report, a corresponding sub-bin node acquires the order information according to the exclusive identification code, and the corresponding sub-bin node keeps the continuous supply of warehouse commodities according to the intelligent analysis report of the order commodities;
s103: the corresponding sub-bin nodes intelligently plan a delivery scheme according to order information, delivery vehicles are arranged according to the delivery scheme, and clients query the order information in real time through clients.
The working principle of the technical scheme is as follows: the clients log in a retail platform or go to an online experience store through online clients (App software), select required commodities and then place orders, automatically generate orders in corresponding software after the clients select the commodities on line and off line through the clients for inquiring, update order information data into an order database, perform intelligent analysis and control processing on the order information through a cloud bin order management end (perform identification and classification on the order information and order information monitoring binding through analysis and control, enhance flexibility of order flow through classification and ensure accuracy of the order information through order information monitoring binding), and acquire intelligent analysis reports, wherein the intelligent analysis reports comprise order corresponding bin nodes; the order generates an exclusive identification code according to an intelligent analysis report (the exclusive identification code is associated with a commodity of a corresponding sub-bin node), the corresponding sub-bin node acquires the order information according to the exclusive identification code, the corresponding sub-bin node keeps continuously supplying warehouse commodities according to the intelligent analysis report of the ordered commodities (based on analysis of commodities in current order information and commodities in corresponding order information in an order storage library, acquires future ordering trend of the order, provides data support for warehouse and suppliers according to the future ordering trend, and keeps optimal stock configuration of the warehouse commodities and continuous replenishment of the suppliers through order management); the corresponding bin nodes intelligently plan the delivery scheme according to the order information (intelligently plan the delivery scheme through order management), schedule delivery vehicles according to the delivery scheme, and inquire the order information in real time through a client (the order can use a logistics tracking function in delivery to inquire the transportation condition of commodities).
The beneficial effects of the technical scheme are as follows: creating order information based on a client, and performing intelligent analysis and control processing on the order information through a cloud bin order management end to acquire an intelligent analysis report, wherein the intelligent analysis report comprises a bin node corresponding to an order; the order generates an exclusive identification code according to the intelligent analysis report, a corresponding sub-bin node acquires the order information according to the exclusive identification code, and the corresponding sub-bin node keeps the continuous supply of warehouse commodities according to the intelligent analysis report of the order commodities; the corresponding sub-bin nodes intelligently plan a delivery scheme according to order information, delivery vehicles are arranged according to the delivery scheme, and clients query the order information in real time through clients. The cloud bin order management end ensures implementation of orders and enhances flexibility of order flow, optimal stock configuration of warehouse commodities and continuous replenishment of suppliers and bin nodes are maintained in the aspect of supply management through order management, and nearby warehouse allocation, information sharing and logistics efficiency are realized by combining order processing with the bin nodes and logistics transportation.
In another embodiment, the step S101 includes:
s1011: creating order information at a client after a customer selects a required commodity, automatically importing the order information into an order database, preprocessing the current order information by the order database, wherein the preprocessing comprises mapping rules and format checking;
S1012: processing order information through a cloud bin order management end, establishing a connection relationship with nationwide bin division nodes based on customer receiving position information in the order information, and establishing a connection relationship between commodities in the order information and commodities corresponding to the bin division nodes;
s1013: and monitoring and binding current order information, and checking the order information through monitoring in the process from order generation to order end, wherein the checking comprises intelligent checking and manual checking of a cloud bin order management end.
The working principle of the technical scheme is as follows: creating order information at a client after a customer selects a required commodity, automatically importing the order information into an order database, preprocessing the current order information by the order database, wherein the preprocessing comprises a mapping rule and a format check (the mapping rule is the relation between the commodity in the previous order information and a binning node, if the current order information has a corresponding mapping rule, the mapping rule is directly called, and if the current order information does not have the corresponding mapping rule, a new mapping rule is created by the current relation, and the format check comprises checking of customer basic information, customer credit information, commodity information and a corresponding query window information format in the order information); processing order information through a cloud bin order management end, establishing a connection relation based on customer receiving position information in the order information and nationwide bin nodes, and establishing a connection relation between commodities in the order information and commodities corresponding to the bin nodes (the connection relation refers to the establishment of a corresponding relation between the commodities in the order and the products in the corresponding bin node inventory, and identifying the currently established corresponding relation through monitoring to see whether repeated mapping connection or error mapping connection is carried out; and monitoring and binding current order information, and checking the order information through monitoring in the process from order generation to order end, wherein the checking comprises intelligent checking and manual checking of a cloud bin order management end.
The order database comprises customer basic information, customer credit, commodity information and order information, wherein the order information comprises order ID, customer ID, commodity ID, order quantity, unit price, total price, order date and bill date.
The beneficial effects of the technical scheme are as follows: creating order information at a client after a customer selects a required commodity, automatically importing the order information into an order database, preprocessing the current order information by the order database, wherein the preprocessing comprises mapping rules and format checking; processing order information through a cloud bin order management end, establishing a connection relationship with nationwide bin division nodes based on customer receiving position information in the order information, and establishing a connection relationship between commodities in the order information and commodities corresponding to the bin division nodes; and monitoring and binding current order information, and checking the order information through monitoring in the process from order generation to order end, wherein the checking comprises intelligent checking and manual checking of a cloud bin order management end. Real-time monitoring is carried out on the order by setting monitoring binding, so that the implementation of the order is ensured; the order database pre-processes the current order information, and classifies and manages the orders, so that the flexibility of the order flow is enhanced.
In another embodiment, the step S102 includes:
s1021: the order produces an exclusive identification code according to the intelligent analysis report, wherein the exclusive identification code comprises commodity parameters, commodity states and the current commodity position;
s1022: constructing an inventory optimization model based on the current corresponding bin node and the historical sales volume of corresponding commodities in the order, and determining inventory control parameters of all levels of bin nodes in the country, wherein the inventory control parameters belong to supply chain sharing information;
s1023: and coordinating the inventory quantity of each level of the sub-warehouse nodes based on the inventory control parameters, and keeping the continuous supply of warehouse commodities.
The working principle of the technical scheme is as follows: the order produces an exclusive identification code according to the intelligent analysis report, wherein the exclusive identification code comprises commodity parameters, commodity states and the current commodity position; constructing an inventory optimization model based on the current corresponding bin node and the historical sales volume of corresponding commodities in the order, and determining inventory control parameters of all levels of bin nodes in the country, wherein the inventory control parameters belong to supply chain sharing information; and coordinating the inventory quantity of each level of the sub-warehouse nodes based on the inventory control parameters, and keeping the continuous supply of warehouse commodities. The optimization of the inventory control strategy is realized, and the aim of reducing the total cost is fulfilled.
The beneficial effects of the technical scheme are as follows: the order produces an exclusive identification code according to the intelligent analysis report, wherein the exclusive identification code comprises commodity parameters, commodity states and the current commodity position; constructing an inventory optimization model based on the current corresponding bin node and the historical sales volume of corresponding commodities in the order, and determining inventory control parameters of all levels of bin nodes in the country, wherein the inventory control parameters belong to supply chain sharing information; and coordinating the inventory quantity of each level of the sub-warehouse nodes based on the inventory control parameters, and keeping the continuous supply of warehouse commodities. The optimization of the inventory control strategy is realized, and the aim of reducing the total cost is fulfilled. The cloud bin order management end ensures implementation of orders and enhances flexibility of order flow, optimal stock configuration of warehouse commodities and continuous replenishment of suppliers and bin nodes are maintained in the aspect of supply management through order management, and nearby warehouse allocation, information sharing and logistics efficiency are realized by combining order processing with the bin nodes and logistics transportation.
In another embodiment, the step S103 includes:
s1031: constructing an order distribution optimizing model based on the corresponding bin node order distribution and logistics distribution, wherein order distribution optimizing model parameters comprise order response, vehicle distribution, path planning and order delivery;
S1032: and matching the commodity with the corresponding delivery service vehicle type based on the order allocation optimization model, selecting a delivery path by the delivery service vehicle type according to the position of the client, and finally completing delivery and order delivery.
The working principle of the technical scheme is as follows: constructing an order distribution optimizing model based on the corresponding bin node order distribution and logistics distribution, wherein order distribution optimizing model parameters comprise order response, vehicle distribution, path planning and order delivery; and matching the commodity with the corresponding delivery service vehicle type based on the order allocation optimization model, selecting a delivery path by the delivery service vehicle type according to the position of the client, and finally completing delivery and order delivery.
The beneficial effects of the technical scheme are as follows: constructing an order distribution optimizing model based on the corresponding bin node order distribution and logistics distribution, wherein order distribution optimizing model parameters comprise order response, vehicle distribution, path planning and order delivery; and matching the commodity with the corresponding delivery service vehicle type based on the order allocation optimization model, selecting a delivery path by the delivery service vehicle type according to the position of the client, and finally completing delivery and order delivery. The cloud bin order management end ensures implementation of orders and enhances flexibility of order flow, optimal stock configuration of warehouse commodities and continuous replenishment of suppliers and bin nodes are maintained in the aspect of supply management through order management, and nearby warehouse allocation, information sharing and logistics efficiency are realized by combining order processing with the bin nodes and logistics transportation.
In another embodiment, the step S1012 includes: after the connection relation between the commodity in the order information and the commodity corresponding to the corresponding bin node is established, the current order is initially allocated;
the initial allocation divides the clients into two clusters, wherein the clusters comprise a node set close to the warehouse and a node set far away from the warehouse, if the order is allocated to the node from the client to the warehouse, the node set is smaller than a set distance value, the allocation scheme is kept unchanged, if the order is allocated to the node from the client to the warehouse, the node set far away from the warehouse, and the allocation scheme of the order is required to be updated and then the allocation scheme is redistributed;
the order allocation scheme comprises an exchange operator and a mobile operator, wherein the exchange operator refers to exchanging customer orders far away from a warehouse set among allocation different sub-warehouse nodes; the move operator refers to moving the customer orders far from the warehouse to a position outside the sequence of the binning nodes, and moving the customer orders near to the warehouse in the sequence of the binning nodes.
The working principle of the technical scheme is as follows: the initial allocation divides the clients into two clusters, wherein the clusters comprise a node set close to the warehouse and a node set far away from the warehouse, if the order is allocated to the node from the client to the warehouse, the node set is smaller than a set distance value, the allocation scheme is kept unchanged, if the order is allocated to the node from the client to the warehouse, the node set far away from the warehouse, and the allocation scheme of the order is required to be updated and then the allocation scheme is redistributed; the order allocation scheme comprises an exchange operator and a mobile operator, wherein the exchange operator refers to exchanging customer orders far away from a warehouse set among allocation different sub-warehouse nodes; the move operator refers to moving the customer orders far from the warehouse to a position outside the sequence of the binning nodes, and moving the customer orders near to the warehouse in the sequence of the binning nodes.
The beneficial effects of the technical scheme are as follows: the initial allocation divides the clients into two clusters, wherein the clusters comprise a node set close to the warehouse and a node set far away from the warehouse, if the order is allocated to the node from the client to the warehouse, the node set is smaller than a set distance value, the allocation scheme is kept unchanged, if the order is allocated to the node from the client to the warehouse, the node set far away from the warehouse, and the allocation scheme of the order is required to be updated and then the allocation scheme is redistributed; the order allocation scheme comprises an exchange operator and a mobile operator, wherein the exchange operator refers to exchanging customer orders far away from a warehouse set among allocation different sub-warehouse nodes; the move operator refers to moving the customer orders far from the warehouse to a position outside the sequence of the binning nodes, and moving the customer orders near to the warehouse in the sequence of the binning nodes. The cloud bin order management end ensures implementation of orders and enhances flexibility of order flow, optimal stock configuration of warehouse commodities and continuous replenishment of suppliers and bin nodes are maintained in the aspect of supply management through order management, and nearby warehouse allocation, information sharing and logistics efficiency are realized by combining order processing with the bin nodes and logistics transportation.
In another embodiment, a full channel retail cloud deck order processing system includes:
the order information creation unit is used for creating order information based on the client, and performing intelligent analysis, management and control processing on the order information through the cloud bin order management end to obtain an intelligent analysis report, wherein the intelligent analysis report comprises bin nodes corresponding to orders;
the special identification code unit of the order is used for generating a special identification code according to the intelligent analysis report of the order, the corresponding bin node acquires the order information according to the special identification code, and the corresponding bin node keeps the continuous supply of the warehouse commodity according to the intelligent analysis report of the order commodity;
the order distribution unit is used for intelligently planning a distribution scheme according to the order information by the corresponding bin nodes, distributing vehicles according to the distribution scheme, and inquiring the order information in real time by a client.
The working principle of the technical scheme is as follows: the clients log in a retail platform or go to an online experience store through online clients (App software), select required commodities and then place orders, automatically generate orders in corresponding software after the clients select the commodities on line and off line through the clients for inquiring, update order information data into an order database, perform intelligent analysis and control processing on the order information through a cloud bin order management end (perform identification and classification on the order information and order information monitoring binding through analysis and control, enhance flexibility of order flow through classification and ensure accuracy of the order information through order information monitoring binding), and acquire intelligent analysis reports, wherein the intelligent analysis reports comprise order corresponding bin nodes; the order generates an exclusive identification code according to an intelligent analysis report (the exclusive identification code is associated with a commodity of a corresponding sub-bin node), the corresponding sub-bin node acquires the order information according to the exclusive identification code, the corresponding sub-bin node keeps continuously supplying warehouse commodities according to the intelligent analysis report of the ordered commodities (based on analysis of commodities in current order information and commodities in corresponding order information in an order storage library, acquires future ordering trend of the order, provides data support for warehouse and suppliers according to the future ordering trend, and keeps optimal stock configuration of the warehouse commodities and continuous replenishment of the suppliers through order management); the corresponding bin nodes intelligently plan the delivery scheme according to the order information (intelligently plan the delivery scheme through order management), schedule delivery vehicles according to the delivery scheme, and inquire the order information in real time through a client (the order can use a logistics tracking function in delivery to inquire the transportation condition of commodities).
The beneficial effects of the technical scheme are as follows: the cloud bin order management end ensures implementation of orders and enhances flexibility of order flow, optimal stock configuration of warehouse commodities and continuous replenishment of suppliers and bin nodes are maintained in the aspect of supply management through order management, and nearby warehouse allocation, information sharing and logistics efficiency are realized by combining order processing with the bin nodes and logistics transportation.
In another embodiment, the order information creation unit includes:
the order information creation first subunit is used for creating order information at the client after the client selects the required commodity, the order information is automatically imported into an order database, the order database pre-processes the current order information, and the pre-processing comprises mapping rules and format checking;
the order information creation second subunit is used for processing the order information through the cloud bin order management end, establishing a connection relation with the nationwide bin division nodes based on the customer receiving position information in the order information, and establishing a connection relation with the commodities corresponding to the corresponding bin division nodes through the commodities in the order information;
the third sub-unit for creating the order information is used for monitoring and binding the current order information, and auditing the order information through monitoring is carried out in the process from the generation of the order to the end of the order, wherein the auditing comprises intelligent auditing and manual auditing of the cloud deck order management end.
The working principle of the technical scheme is as follows: creating order information at a client after a customer selects a required commodity, automatically importing the order information into an order database, preprocessing the current order information by the order database, wherein the preprocessing comprises a mapping rule and a format check (the mapping rule is the relation between the commodity in the previous order information and a binning node, if the current order information has a corresponding mapping rule, the mapping rule is directly called, and if the current order information does not have the corresponding mapping rule, a new mapping rule is created by the current relation, and the format check comprises checking of customer basic information, customer credit information, commodity information and a corresponding query window information format in the order information); processing order information through a cloud bin order management end, establishing a connection relation based on customer receiving position information in the order information and nationwide bin nodes, and establishing a connection relation between commodities in the order information and commodities corresponding to the bin nodes (the connection relation refers to the establishment of a corresponding relation between the commodities in the order and the products in the corresponding bin node inventory, and identifying the currently established corresponding relation through monitoring to see whether repeated mapping connection or error mapping connection is carried out; and monitoring and binding current order information, and checking the order information through monitoring in the process from order generation to order end, wherein the checking comprises intelligent checking and manual checking of a cloud bin order management end.
The order database comprises customer basic information, customer credit, commodity information and order information, wherein the order information comprises order ID, customer ID, commodity ID, order quantity, unit price, total price, order date and bill date.
The beneficial effects of the technical scheme are as follows: real-time monitoring is carried out on the order by setting monitoring binding, so that the implementation of the order is ensured; the order database pre-processes the current order information, and classifies and manages the orders, so that the flexibility of the order flow is enhanced.
In another embodiment, the order specific identification code unit comprises:
the first subunit of the special identification code of the order is used for producing the special identification code of the order according to the intelligent analysis report, and the special identification code comprises commodity parameters, commodity states and the position of the current commodity;
the second subunit of the special identification code of the order is used for constructing an inventory optimization model based on the current corresponding bin node and the historical sales volume of the corresponding commodity in the order, and determining inventory control parameters of all levels of bin nodes in the whole country, wherein the inventory control parameters belong to supply chain sharing information;
the third subunit of the order exclusive identification code is used for coordinating the inventory quantity of each level of the sub-bin nodes based on inventory control parameters and keeping the continuous supply of warehouse commodities.
The working principle of the technical scheme is as follows: the first subunit of the special identification code of the order is used for producing the special identification code of the order according to the intelligent analysis report, and the special identification code comprises commodity parameters, commodity states and the position of the current commodity; the second subunit of the special identification code of the order is used for constructing an inventory optimization model based on the current corresponding bin node and the historical sales volume of the corresponding commodity in the order, and determining inventory control parameters of all levels of bin nodes in the whole country, wherein the inventory control parameters belong to supply chain sharing information; the third subunit of the order exclusive identification code is used for coordinating the inventory quantity of each level of the sub-bin nodes based on inventory control parameters and keeping the continuous supply of warehouse commodities.
Based on sales volume of commodities corresponding to the current order, predicting future ordering trend of the commodities corresponding to the order, and providing data support for warehouse and suppliers; the sales formula of the corresponding commodity is:
wherein P represents the sales amount of the corresponding commodity, I represents the total amount of the corresponding commodity in the order structure, J represents the total number of types of the commodity in the order structure, and q ij Representing the ordered quantity, Q, of the j-th class of products in the order structure in order i p,j Represented as the maximum number of such items that the corresponding binning node can accommodate.
When P is larger, reflecting that the sales amount of the corresponding commodity is smaller, and the corresponding warehouse-dividing node needs to enter the commodity in batches and in small batches, and belongs to a diapause commodity; when P is smaller, the corresponding commodity sales amount is reflected to be larger, the corresponding warehouse node needs to increase the ordering amount, and the commodity is attributed to a smooth commodity.
The beneficial effects of the technical scheme are as follows: the cloud bin order management end ensures implementation of orders and enhances flexibility of order flow, optimal stock configuration of warehouse commodities and continuous replenishment of suppliers and bin nodes are maintained in the aspect of supply management through order management, and nearby warehouse allocation, information sharing and logistics efficiency are realized by combining order processing with the bin nodes and logistics transportation.
In another embodiment, the order delivery unit includes:
the order distribution first subunit is used for constructing an order distribution optimizing model based on the order distribution of the corresponding sub-bin nodes and the logistics distribution, and the order distribution optimizing model parameters comprise order response, vehicle distribution, path planning and order delivery;
the order distribution second sub-unit is used for matching the commodities with corresponding distribution service vehicle types based on the order distribution optimization model, the distribution service vehicle types select distribution paths according to the positions of clients, and distribution and order delivery are finally completed.
The working principle of the technical scheme is as follows: the order distribution first subunit is used for constructing an order distribution optimizing model based on the order distribution of the corresponding sub-bin nodes and the logistics distribution, and the order distribution optimizing model parameters comprise order response, vehicle distribution, path planning and order delivery; the order distribution second sub-unit is used for matching the commodities with corresponding distribution service vehicle types based on the order distribution optimization model, the distribution service vehicle types select distribution paths according to the positions of clients, and distribution and order delivery are finally completed.
The beneficial effects of the technical scheme are as follows: the cloud bin order management end ensures implementation of orders and enhances flexibility of order flow, optimal stock configuration of warehouse commodities and continuous replenishment of suppliers and bin nodes are maintained in the aspect of supply management through order management, and nearby warehouse allocation, information sharing and logistics efficiency are realized by combining order processing with the bin nodes and logistics transportation.
In another embodiment, the order information creating second subunit includes: after the connection relation between the commodity in the order information and the commodity corresponding to the corresponding bin node is established, the current order is initially allocated;
The initial allocation divides the clients into two clusters, wherein the clusters comprise a node set close to the warehouse and a node set far away from the warehouse, if the order is allocated to the node from the client to the warehouse, the node set is smaller than a set distance value, the allocation scheme is kept unchanged, if the order is allocated to the node from the client to the warehouse, the node set far away from the warehouse, and the allocation scheme of the order is required to be updated and then the allocation scheme is redistributed;
the order allocation scheme comprises an exchange operator and a mobile operator, wherein the exchange operator refers to exchanging customer orders far away from a warehouse set among allocation different sub-warehouse nodes; the move operator refers to moving the customer orders far from the warehouse to a position outside the sequence of the binning nodes, and moving the customer orders near to the warehouse in the sequence of the binning nodes.
The working principle of the technical scheme is as follows: the initial allocation divides the clients into two clusters, wherein the clusters comprise a node set close to the warehouse and a node set far away from the warehouse, if the order is allocated to the node from the client to the warehouse, the node set is smaller than a set distance value, the allocation scheme is kept unchanged, if the order is allocated to the node from the client to the warehouse, the node set far away from the warehouse, and the allocation scheme of the order is required to be updated and then the allocation scheme is redistributed; the order allocation scheme comprises an exchange operator and a mobile operator, wherein the exchange operator refers to exchanging customer orders far away from a warehouse set among allocation different sub-warehouse nodes; the move operator refers to moving the customer orders far from the warehouse to a position outside the sequence of the binning nodes, and moving the customer orders near to the warehouse in the sequence of the binning nodes.
The beneficial effects of the technical scheme are as follows: the initial allocation divides the clients into two clusters, wherein the clusters comprise a node set close to the warehouse and a node set far away from the warehouse, if the order is allocated to the node from the client to the warehouse, the node set is smaller than a set distance value, the allocation scheme is kept unchanged, if the order is allocated to the node from the client to the warehouse, the node set far away from the warehouse, and the allocation scheme of the order is required to be updated and then the allocation scheme is redistributed; the order allocation scheme comprises an exchange operator and a mobile operator, wherein the exchange operator refers to exchanging customer orders far away from a warehouse set among allocation different sub-warehouse nodes; the move operator refers to moving the customer orders far from the warehouse to a position outside the sequence of the binning nodes, and moving the customer orders near to the warehouse in the sequence of the binning nodes. The cloud bin order management end ensures implementation of orders and enhances flexibility of order flow, optimal stock configuration of warehouse commodities and continuous replenishment of suppliers and bin nodes are maintained in the aspect of supply management through order management, and nearby warehouse allocation, information sharing and logistics efficiency are realized by combining order processing with the bin nodes and logistics transportation.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (4)
1. The cloud warehouse order management method for full channel retail is characterized by comprising the following steps:
s101: creating order information based on a client, and performing intelligent analysis and control processing on the order information through a cloud bin order management end to acquire an intelligent analysis report, wherein the intelligent analysis report comprises a bin node corresponding to an order;
s102: the order generates an exclusive identification code according to the intelligent analysis report, a corresponding sub-bin node acquires the order information according to the exclusive identification code, and the corresponding sub-bin node keeps the continuous supply of warehouse commodities according to the intelligent analysis report of the order commodities;
s103: the corresponding sub-bin nodes intelligently plan a delivery scheme according to the order information, delivery vehicles are arranged according to the delivery scheme, and clients inquire the order information in real time through clients;
the step S101 includes:
s1011: creating order information at a client after a customer selects a required commodity, automatically importing the order information into an order database, preprocessing the current order information by the order database, wherein the preprocessing comprises a mapping rule and a format check, the mapping rule refers to the relation between the commodity in the previous order information and a bin node, if the current order information has a corresponding mapping rule, the mapping rule is directly called, and if the current order information does not have the corresponding mapping rule, a new mapping rule is created by establishing the current relation; the format check comprises checking the basic information of the customer, the credit information of the customer, the commodity information and the corresponding query window information format in the order information;
S1012: processing order information through a cloud bin order management end, establishing a connection relation based on customer receiving position information in the order information and nationwide bin division nodes, establishing a connection relation between commodities in the order information and commodities corresponding to the bin division nodes, wherein the connection relation is that the commodities in the order and the products in the corresponding bin division node inventory establish a corresponding relation, and identifying the currently established corresponding relation through monitoring to see whether repeated mapping connection or error mapping connection is carried out;
s1013: monitoring and binding current order information, and checking the order information through monitoring in the process from order generation to order end, wherein the checking comprises intelligent checking and manual checking of a cloud bin order management end;
based on sales volume of commodities corresponding to the current order, predicting future ordering trend of the commodities corresponding to the order, and providing data support for warehouse and suppliers; the sales formula of the corresponding commodity is:
wherein P represents the sales amount of the corresponding commodity, I represents the total amount of the corresponding commodity in the order structure, J represents the total number of types of the commodity in the order structure, and q ij Representing the ordered quantity of the j-th product in order i in the order structure, Q p,j The maximum number of the commodity can be accommodated by the corresponding sub-bin node;
the step S102 includes:
s1021: the order produces an exclusive identification code according to the intelligent analysis report, wherein the exclusive identification code comprises commodity parameters, commodity states and the current commodity position;
s1022: constructing an inventory optimization model based on the current corresponding bin node and the historical sales volume of corresponding commodities in the order, and determining inventory control parameters of all levels of bin nodes in the country, wherein the inventory control parameters belong to supply chain sharing information;
s1023: coordinating the inventory quantity of each level of the sub-warehouse nodes based on inventory control parameters, and keeping the continuous supply of warehouse commodities;
the step S103 includes:
s1031: constructing an order distribution optimizing model based on the corresponding bin node order distribution and logistics distribution, wherein order distribution optimizing model parameters comprise order response, vehicle distribution, path planning and order delivery;
s1032: and matching the commodity with the corresponding delivery service vehicle type based on the order allocation optimization model, selecting a delivery path by the delivery service vehicle type according to the position of the client, and finally completing delivery and order delivery.
2. The method for cloud deck order management for full channel retail according to claim 1, wherein said step S1012 comprises: after the connection relation between the commodity in the order information and the commodity corresponding to the corresponding bin node is established, the current order is initially allocated;
The initial allocation divides the clients into two clusters, wherein the clusters comprise a node set close to the warehouse and a node set far away from the warehouse, if the order is allocated to the node from the client to the warehouse, the node set is smaller than a set distance value, the allocation scheme is kept unchanged, if the order is allocated to the node from the client to the warehouse, the node set far away from the warehouse, and the allocation scheme of the order is required to be updated and then the allocation scheme is redistributed;
the order allocation scheme comprises an exchange operator and a mobile operator, wherein the exchange operator refers to exchanging customer orders far away from a warehouse set among allocation different sub-warehouse nodes; the move operator refers to moving the customer orders far from the warehouse to a position outside the sequence of the binning nodes, and moving the customer orders near to the warehouse in the sequence of the binning nodes.
3. A cloud deck order processing system for full channel retail, comprising:
the order information creation unit is used for creating order information based on the client, and performing intelligent analysis, management and control processing on the order information through the cloud bin order management end to obtain an intelligent analysis report, wherein the intelligent analysis report comprises bin nodes corresponding to orders;
the special identification code unit of the order is used for generating a special identification code according to the intelligent analysis report of the order, the corresponding bin node acquires the order information according to the special identification code, and the corresponding bin node keeps the continuous supply of the warehouse commodity according to the intelligent analysis report of the order commodity;
The order distribution unit is used for intelligently planning a distribution scheme according to the order information by the corresponding bin nodes, distributing vehicles according to the distribution scheme, and inquiring the order information in real time by a client;
the order information creation unit includes:
the order information creation first subunit is used for creating order information at a client after a client selects a required commodity, the order information is automatically imported into an order database, the order database preprocesses the current order information, the preprocessing comprises a mapping rule and a format check, the mapping rule refers to the relation between the commodity in the previous order information and a bin node, if the current order information has a corresponding mapping rule, the mapping rule is directly called, and if the current order information does not have the corresponding mapping rule, a new mapping rule is created according to the current relation; the format check comprises checking the basic information of the customer, the credit information of the customer, the commodity information and the corresponding query window information format in the order information;
the order information creation second subunit is used for processing the order information through the cloud bin order management end, establishing a connection relation between the customer receiving position information in the order information and the nationwide bin nodes, establishing a connection relation between commodities in the order information and commodities corresponding to the bin nodes, establishing a corresponding relation between the commodities in the order and the products in the corresponding bin node inventory, and identifying the currently established corresponding relation through monitoring to see whether the mapping connection or the error mapping connection is repeated;
The third sub-unit for creating the order information is used for monitoring and binding the current order information, and auditing the order information through monitoring is carried out in the process from the generation of the order to the end of the order, wherein the auditing comprises intelligent auditing and manual auditing of a cloud deck order management end;
based on sales volume of commodities corresponding to the current order, predicting future ordering trend of the commodities corresponding to the order, and providing data support for warehouse and suppliers; the sales formula of the corresponding commodity is:
wherein P represents the sales amount of the corresponding commodity, I represents the total amount of the corresponding commodity in the order structure, J represents the total number of types of the commodity in the order structure, and q ij Representing the ordered quantity, Q, of the j-th class of products in the order structure in order i p,j The maximum number of the commodity can be accommodated by the corresponding sub-bin node;
the order-specific identification code unit includes:
the first subunit of the special identification code of the order is used for producing the special identification code of the order according to the intelligent analysis report, and the special identification code comprises commodity parameters, commodity states and the position of the current commodity;
the second subunit of the special identification code of the order is used for constructing an inventory optimization model based on the current corresponding bin node and the historical sales volume of the corresponding commodity in the order, and determining inventory control parameters of all levels of bin nodes in the whole country, wherein the inventory control parameters belong to supply chain sharing information;
The third subunit of the order exclusive identification code is used for coordinating the inventory quantity of each level of the sub-bin nodes based on inventory control parameters and keeping the continuous supply of warehouse commodities;
the order distribution unit includes:
the order distribution first subunit is used for constructing an order distribution optimizing model based on the order distribution of the corresponding sub-bin nodes and the logistics distribution, and the order distribution optimizing model parameters comprise order response, vehicle distribution, path planning and order delivery;
the order distribution second sub-unit is used for matching the commodities with corresponding distribution service vehicle types based on the order distribution optimization model, the distribution service vehicle types select distribution paths according to the positions of clients, and distribution and order delivery are finally completed.
4. A full channel retail cloud deck order processing system as recited in claim 3, wherein said order information creation second sub-unit comprises: after the connection relation between the commodity in the order information and the commodity corresponding to the corresponding bin node is established, the current order is initially allocated;
the initial allocation divides the clients into two clusters, wherein the clusters comprise a node set close to the warehouse and a node set far away from the warehouse, if the order is allocated to the node from the client to the warehouse, the node set is smaller than a set distance value, the allocation scheme is kept unchanged, if the order is allocated to the node from the client to the warehouse, the node set far away from the warehouse, and the allocation scheme of the order is required to be updated and then the allocation scheme is redistributed;
The order allocation scheme comprises an exchange operator and a mobile operator, wherein the exchange operator refers to exchanging customer orders far away from a warehouse set among allocation different sub-warehouse nodes; the move operator refers to moving the customer orders far from the warehouse to a position outside the sequence of the binning nodes, and moving the customer orders near to the warehouse in the sequence of the binning nodes.
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